P values are one of the most commonly reported types of statistical data in biomedical research papers. In hypothesis testing, they are a measure of the strength of evidence against a Null Hypothesis, indicating how likely it is that your results could have been obtained if the null hypothesis had been true. In general, p values tell readers only whether any relationship, difference between groups, etc., is likely to be due to chance or to the variable(s) you are studying.